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In statistics and machine learning, lasso (least absolute shrinkage and selection operator; also Lasso or LASSO) is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpretability of the statistical model it produces
Như vậy đây không phải là 1 toán tử mà là 1 thuật toán trong thống kê và ML.
Anh đề xuất dịch là : Thuật toán lựa chọn và rút gọn tối ưu LASSO
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Đồng ý với cách dịch của a @hoangnhxda
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- Kế hoạch hoàn thiện Dự án
- Chapter 5.3 HOT 2
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- Chapter 5.8 HOT 3
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- Chapter 5.7
- Chapter 5 Introduction HOT 1
- Chapter 5.10
- xc
- Glossary #1 - Intercept? HOT 2
- Glossary #2 - least squares error HOT 1
- Discussion #1 - Giá trị bình phương R HOT 5
- Features translation - Chapter 3 - 3.1 HOT 5
- Chapter 5 - 5.1: Partial Dependence Plot HOT 3
- Discussion #2 - complete separation trong logistric regression HOT 1
- Chapter 5 - 5.1 - The remaining HOT 2
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